CN105158647A - Single station end fault diagnosis and auxiliary decisionmaking method based on power supply monitoring system - Google Patents
Single station end fault diagnosis and auxiliary decisionmaking method based on power supply monitoring system Download PDFInfo
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- CN105158647A CN105158647A CN201510651970.2A CN201510651970A CN105158647A CN 105158647 A CN105158647 A CN 105158647A CN 201510651970 A CN201510651970 A CN 201510651970A CN 105158647 A CN105158647 A CN 105158647A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention discloses a single station end fault diagnosis and auxiliary decision making method based on a power grid monitoring system. The method comprises the steps of: establishing an expert database; dividing accident information into switching value information reflecting operation states of power transformation equipment and continuous change information of process data in accidents; describing the switching value information by state elements, carrying out AND operation, and determining a fault element; carrying out multi-source information fusion on the continuous change information; matching a fusion result with expected accident sets, and identifying the fault type; determining the property of the accident according to the expert database, and carrying out accident handling auxiliary decision making; and displaying and tracking all data and results on the monitoring system in real time. According to the invention, auxiliary decision making is carried out on the single station end fault of a power grid by utilizing a computer and an existing power grid intelligent monitoring system, monitoring workers are prevented from processing a large amount of monitoring data, problems caused by insufficient processing experience of the monitoring workers are avoided, the decision can be rapidly and accurately made on the single station end fault of the power grid, and accidents are prevented.
Description
Technical field
The present invention relates to a kind of Dan Zhanduan electric network failure diagnosis based on grid monitoring system and aid decision-making method.
Background technology
At present, all kinds of supervisory system equal Real-Time Monitoring operation of power networks data during operation of power networks, and monitor data is uploaded to master station in real time.But, because the monitor message of access main website end is separate, intelligent logical combinatory analysis function is not possessed between each monitor message, once have an accident, monitor's needs carry out manual analysis according to the operation of power networks of magnanimity and monitor data, and constantly call different monitoring picture and judge according to personal experience, this causes great difficulty to monitor to the judgement of accident and information disposal." 500kV transformer station typical case's monitor message table (the trying) " standard issued for 2012 according to Guo Tiao center, according to 2 main transformers, the 8 times 500kV outlets of 5 strings, 10 220kV outlet modular designs, single 500kV transformer station has more than 4000 " four is distant " monitor message point to upload access master station; To put into operation 500kV transformer station for 17, province electrical network in the middle part of certain, this economizes monitoring value on duty (standard is equipped with 2 people) need process more than 68000 monitor message point, when especially there is power grid accident, 5 ~ 10 times can be produced to the abnormal information of normal data within millisecond (ms) the level time, monitor message swamping effect may occur.Because current access main website end monitor message point is separate, monitor need constantly call different monitoring picture and judge according to personal experience, and this disposes to monitor's accident diagnoses, information and causes great difficulty.
Summary of the invention
The object of the present invention is to provide a kind of Dan Zhanduan electric network failure diagnosis based on grid monitoring system and aid decision-making method, quick and precisely to make decisions to the electric network fault of Dan Zhanduan, stop the generation of accident.
This Dan Zhanduan electric network failure diagnosis based on grid monitoring system provided by the invention and aid decision-making method, comprise the steps:
1) set up expert database: comprise contingency set, and build the expert decision-making database corresponding with contingency set;
2) accident information is categorized as two classes: a class is the switching value information of reflection converting equipment operation conditions, the consecutive variations information of process data during two classes are accident;
3) category information is described with the state elements of correspondence;
4) carry out logic couples to each state elements described in step 3), carry out computing by the relation of logical and, as long as there is a state elements to be fault, then the element that this state elements relates to is defined as fault element;
5) to step 2) described in two category informations carry out Multi-source Information Fusion;
6) correlated characteristic that the Multi-source Information Fusion result of step 5) and described forecast accident are concentrated is mated, according to matching degree identification of defective type;
7) according to the judged result of step 4) and step 6), according to the expert decision-making database described in step 1), determine the character that accident occurs further, and carry out the aid decision making of accident handling;
8) relevant to monitoring system of electric substation for the data described in step 4) ~ step 7) pel is associated, and show in real time and follow the tracks of.
Step 2) described in a category information and two category informations come from the information collecting platform of master station.
Step 2) described in two category informations comprise power flow changing information, node voltage information, change in voltage information, voltage, phase angle information; Wherein power flow changing information and node voltage information are carried out being coupled and are obtained fault branch current characteristic information, and change in voltage information is carried out being coupled with voltage, phase angle information and obtained malfunctioning node voltage phase angle characteristic information.
State elements described in step 3) is as shown in following table 1, table 2:
Table 1 line segregation accident-isolating switch accident condition list of elements
The table 2 main transformer accident condition list of elements
Multi-source Information Fusion described in step 5), to break down probability for calculating each branch road according to fault branch current characteristic information and malfunctioning node voltage phase angle characteristic information respectively, and above-mentioned probability of malfunction is sorted according to descending, successively according to maximum possible occur principle and step 4) in fault element carry out consistency discrimination.
The present invention is owing to constructing expert decision-making database corresponding to forecast failure collection, and switching value information and consecutive variations information are divided into electrical network Dan Zhanduan failure message, utilize the fault type of the logic couples operation result of switching value information and the matching degree institute identification of consecutive variations amount information and contingency set simultaneously, determine the character that accident occurs further, finally carry out fault aid decision making by expert decision-making database, therefore the present invention can utilize computing machine and existing electrical network intelligent monitor system to carry out aid decision making to electrical network Dan Zhanduan fault, avoid monitor staff and artificially process the monitor data of magnanimity and monitor staff processes the defect of lacking experience, can quick and precisely make decisions to electrical network Dan Zhanduan fault, stop the generation of accident.
figure of description
Fig. 1 is Dan Zhanduan electric network fault of the present invention information acquisition and processing flow chart.
Fig. 2 is Dan Zhanduan electric network fault information coupling implementation of inference process flow diagram of the present invention.
Fig. 3 is the Dan Zhanduan electric network failure diagnosis based on grid monitoring system of the present invention and aid decision-making method process flow diagram.
Embodiment
As shown in Figure 1, for Dan Zhanduan electric network fault of the present invention information acquisition and processing flow chart, Fig. 2 is Dan Zhanduan electric network fault information coupling implementation of inference process flow diagram of the present invention, and Fig. 3 is the Dan Zhanduan electric network failure diagnosis based on grid monitoring system of the present invention and aid decision-making method process flow diagram.Below in conjunction with example, the Dan Zhanduan electric network failure diagnosis based on grid monitoring system of the present invention and aid decision-making method are described:
Example 1: certain 500kV transformer station 220kV circuit 604 isolating switch A phase fault tripping operation unsuccessful reclosing, main station monitoring shows 604 isolating switch B, C phase co-bits.
Its coupling steps in decision-making is as follows:
Line segregation breaks down, and state elements table is as shown in table 3 below, and wherein k is the numbering of state elements, and value is 1,2,3 ...:
Table 3 isolating switch accident condition element set table
Coupled logic result according to state elements:
; Preliminary judgement " line tripping, unsuccessful reclosing, open-phase operation "; Again inspect the known malfunction element of state elements table for " circuit 604 the first/bis-cover protection A tripping operation outlet ", " 604 circuits the first/bis-overlap and protect reclosing action outlet ";
This faulty equipment method of operation: " RUN ";
Malfunction element alarm classification: " fault ";
Malfunction element fault category: " the simple fault of Dan Zhanduan ";
Malfunction element on off state: " non-three phase ";
Failure message merges: as shown in table 4, compares with the expert decision-making database set up, and draws further to merge to sentence eventually: " 604 line failures, pilot protection action tripping 604 isolating switch A phase, unsuccessful reclosing, B, C phase co-bit, open-phase operation "
Table 4: line fault information fusion
Coupling the reasoning results is: " A phase fault occurs equipment component (2) i.e. circuit L2, the first/bis-cover main protection action outlet, unsuccessful reclosing, the open-phase operation of B, C phase "
Dispose decision-making: draw according to experts database and sentence conclusion eventually: namely: " pull open 604 isolating switch+examinations and send 604 isolating switchs+startup separator disposal process ".
Example 2: certain 500kV transformer station #1 main transformer fault, #1 main transformer three side isolating switch 5011,5012,610,410 is jumped in transform er differential protection action, and main station monitoring display #1 main transformer three side isolating switch is all in a point position.
Its coupling steps in decision-making is as follows:
Break down in main transformer interval, state elements table is as shown in table 5 below, and wherein: wherein k is the numbering of state elements, value is 1,2,3 ...:
Table 5 main transformer accident condition element set table
Coupled logic result according to state elements:
; Preliminary judgement " #1 main transformer fault "; Again inspecting the known malfunction element of state elements table is " #1 main transformer interval trouble-signal ", " main transformer the first/bis-overlaps the outlet of protection differential protection ", " isolating switch A/B/C phase point position, #1 main transformer high/medium/low pressure side ";
Failure message merges: as shown in table 6, draws further to merge to sentence " #1 main transformer fault, differential protection action tripping three side isolating switch " eventually.
Table 6: main transformer failure message merges
Coupling the reasoning results is " equipment component (3) is i.e. #1 main transformer generation body fault, the first/bis-cover differential protection action outlet tripping three side isolating switch ".
Dispose decision-making: what establish before contrast builds expert decision-making database to the solution corresponding to the various abnormality of electrical network, " isolated fault+startup separator disposal process ".
This Dan Zhanduan electric network failure diagnosis based on grid monitoring system provided by the invention and aid decision-making method, construct the expert decision-making database that forecast failure collection is corresponding, and switching value information and consecutive variations information are divided into electrical network Dan Zhanduan failure message, utilize the fault type of the logic couples operation result of switching value information and the matching degree institute identification of consecutive variations amount information and contingency set simultaneously, determine the character that accident occurs further, finally carry out fault aid decision making by expert decision-making database, be not only applicable to line segregation accident or the main transformer interval accident of the generation of single station, also the situation that other equipment of single station have an accident is applicable to, as bus, Reactive Power Device, high voltage reactor, to stand electricity consumption, straight-flow systems etc. break down.
Claims (7)
1., based on Dan Zhanduan electric network failure diagnosis and the aid decision-making method of grid monitoring system, comprise the steps:
1) set up expert database: comprise contingency set, and build the expert decision-making database corresponding with contingency set;
2) accident information is categorized as two classes: a class is the switching value information of reflection converting equipment operation conditions, the consecutive variations information of process data during two classes are accident;
3) category information is described with the state elements of correspondence;
4) carry out logic couples to each state elements described in step 3), carry out computing by the relation of logical and, as long as there is a state elements to be fault, then the logic couples result that this state elements relates to can determine fault element;
5) to step 2) described in two category informations carry out Multi-source Information Fusion;
6) correlated characteristic that the Multi-source Information Fusion result of step 5) and described forecast accident are concentrated is mated, according to matching degree identification of defective type;
7) according to the judged result of step 4) and step 6), according to the expert decision-making database described in step 1), determine the character that accident occurs further, and carry out the aid decision making of accident handling;
8) relevant to monitoring system of electric substation for the data described in step 4) ~ step 7) pel is associated, and show in real time and follow the tracks of.
2. the Dan Zhanduan electric network failure diagnosis based on grid monitoring system according to claim 1 and aid decision-making method, is characterized in that step 2) described in a category information and two class confidence come from the information collecting platform of master station.
3. the Dan Zhanduan electric network failure diagnosis based on grid monitoring system according to claim 1 and 2 and aid decision-making method, is characterized in that step 2) described in two category informations comprise power flow changing information, node voltage information, change in voltage information, voltage, phase angle information; Wherein power flow changing information and node voltage information are carried out being coupled and are obtained fault branch current characteristic information, and change in voltage information is carried out being coupled with voltage, phase angle information and obtained malfunctioning node voltage phase angle characteristic information.
4. the Dan Zhanduan electric network failure diagnosis based on grid monitoring system according to claim 1 and 2 and aid decision-making method, is characterized in that state elements described in step 3) is as shown in following table 1, table 2:
Table 1 line segregation accident-isolating switch accident condition list of elements
The table 2 main transformer accident condition list of elements
。
5. the Dan Zhanduan electric network failure diagnosis based on grid monitoring system according to claim 1 and 2 and aid decision-making method, it is characterized in that the Multi-source Information Fusion described in step 5), for extracting characteristic quantity, calculate each branch road according to fault branch current characteristic information and malfunctioning node voltage phase angle characteristic information respectively to break down probability, and above-mentioned probability of malfunction is arranged according to descending, successively according to maximum possible occur principle and step 4) in fault element carry out consistency discrimination.
6. the Dan Zhanduan electric network failure diagnosis based on grid monitoring system according to claim 3 and aid decision-making method, it is characterized in that Multi-source Information Fusion described in step 5) to break down probability for calculating each branch road according to fault branch current characteristic information and malfunctioning node voltage phase angle characteristic information respectively, and above-mentioned probability of malfunction is merged according to descending, successively according to maximum possible occur principle and step 4) in fault element carry out consistency discrimination.
7. the Dan Zhanduan electric network failure diagnosis based on grid monitoring system according to claim 4 and aid decision-making method, it is characterized in that the Multi-source Information Fusion described in step 5), for extracting characteristic quantity, calculate each branch road according to fault branch current characteristic information and malfunctioning node voltage phase angle characteristic information respectively to break down probability, and above-mentioned probability of malfunction is merged according to descending, successively according to maximum possible occur principle and step 4) in fault element carry out consistency discrimination.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107171436A (en) * | 2017-05-08 | 2017-09-15 | 国网山东省电力公司烟台供电公司 | It is a kind of automatic screening information and the supervising device and its monitoring method of crash analysis to be carried out |
| CN108196161A (en) * | 2018-01-10 | 2018-06-22 | 哈尔滨理工大学 | A kind of asynchronization super-pressure Synchronous Generator after Loss-of-Excitation method for diagnosing faults |
| TWI637176B (en) * | 2017-03-30 | 2018-10-01 | 日商三菱電機股份有限公司 | Phase group estimation device, phase group estimation method, and recording medium |
| CN109683044A (en) * | 2018-12-29 | 2019-04-26 | 河南辉煌城轨科技有限公司 | Power switchgear malfunction judgment method based on multi-source information |
| CN109726214A (en) * | 2018-12-26 | 2019-05-07 | 国电南瑞科技股份有限公司 | A kind of equipment fault disposition aid decision-making method and system |
| CN110046782A (en) * | 2018-12-05 | 2019-07-23 | 国网江西省电力有限公司 | A kind of automatic identifying method of power grid accident tripping monitoring information problem |
| CN112765425A (en) * | 2020-12-31 | 2021-05-07 | 国能日新科技股份有限公司 | Hydropower station data processing method and electronic equipment |
| CN116894064A (en) * | 2023-07-18 | 2023-10-17 | 国网信息通信产业集团有限公司北京分公司 | Intelligent integrated power-transformation auxiliary control data system and method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011056144A1 (en) * | 2009-11-06 | 2011-05-12 | Nanyang Polytechnic | Fault signature-based case library system and method for power system trouble-shooting and recovery |
| CN102938098A (en) * | 2012-10-15 | 2013-02-20 | 深圳供电局有限公司 | Power grid operation manner expert system |
| CN103065268A (en) * | 2012-12-28 | 2013-04-24 | 广东电网公司清远供电局 | System for optimization, integration and intelligent analysis of operating data of converting station |
| CN103066700A (en) * | 2012-12-19 | 2013-04-24 | 云南电力调度控制中心 | Power grid fault information processing method and system |
| CN103278746A (en) * | 2013-05-31 | 2013-09-04 | 华北电力大学 | Implementation method of grid fault diagnosis system considering uncertain information |
| CN103427417A (en) * | 2013-07-31 | 2013-12-04 | 国电南瑞科技股份有限公司 | Power distribution network fault processing method based on multi-source information fusion |
| CN103941158A (en) * | 2014-04-17 | 2014-07-23 | 国家电网公司 | Power distribution network fault diagnosis system and method based on multi-source information |
-
2015
- 2015-10-10 CN CN201510651970.2A patent/CN105158647B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011056144A1 (en) * | 2009-11-06 | 2011-05-12 | Nanyang Polytechnic | Fault signature-based case library system and method for power system trouble-shooting and recovery |
| CN102938098A (en) * | 2012-10-15 | 2013-02-20 | 深圳供电局有限公司 | Power grid operation manner expert system |
| CN103066700A (en) * | 2012-12-19 | 2013-04-24 | 云南电力调度控制中心 | Power grid fault information processing method and system |
| CN103065268A (en) * | 2012-12-28 | 2013-04-24 | 广东电网公司清远供电局 | System for optimization, integration and intelligent analysis of operating data of converting station |
| CN103278746A (en) * | 2013-05-31 | 2013-09-04 | 华北电力大学 | Implementation method of grid fault diagnosis system considering uncertain information |
| CN103427417A (en) * | 2013-07-31 | 2013-12-04 | 国电南瑞科技股份有限公司 | Power distribution network fault processing method based on multi-source information fusion |
| CN103941158A (en) * | 2014-04-17 | 2014-07-23 | 国家电网公司 | Power distribution network fault diagnosis system and method based on multi-source information |
Non-Patent Citations (4)
| Title |
|---|
| 刘毅 等: "一种考虑多层信息融合的电网故障诊断辅助决策方法", 《电力***保护与控制》 * |
| 彭明伟: "多数据源信息融合的电网故障诊断方法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 郭创新 等: "采用分层多源信息融合的电网故障诊断方法", 《高电压技术》 * |
| 高振兴 等: "基于多源信息融合的电网故障诊断方法研究", 《电力***保护与控制》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI637176B (en) * | 2017-03-30 | 2018-10-01 | 日商三菱電機股份有限公司 | Phase group estimation device, phase group estimation method, and recording medium |
| CN107171436A (en) * | 2017-05-08 | 2017-09-15 | 国网山东省电力公司烟台供电公司 | It is a kind of automatic screening information and the supervising device and its monitoring method of crash analysis to be carried out |
| CN107171436B (en) * | 2017-05-08 | 2020-02-28 | 国网山东省电力公司烟台供电公司 | Monitoring device capable of automatically screening information and analyzing accidents and monitoring method thereof |
| CN108196161A (en) * | 2018-01-10 | 2018-06-22 | 哈尔滨理工大学 | A kind of asynchronization super-pressure Synchronous Generator after Loss-of-Excitation method for diagnosing faults |
| CN110046782A (en) * | 2018-12-05 | 2019-07-23 | 国网江西省电力有限公司 | A kind of automatic identifying method of power grid accident tripping monitoring information problem |
| CN109726214A (en) * | 2018-12-26 | 2019-05-07 | 国电南瑞科技股份有限公司 | A kind of equipment fault disposition aid decision-making method and system |
| CN109683044A (en) * | 2018-12-29 | 2019-04-26 | 河南辉煌城轨科技有限公司 | Power switchgear malfunction judgment method based on multi-source information |
| CN112765425A (en) * | 2020-12-31 | 2021-05-07 | 国能日新科技股份有限公司 | Hydropower station data processing method and electronic equipment |
| CN112765425B (en) * | 2020-12-31 | 2023-10-20 | 国能日新科技股份有限公司 | Hydropower station data processing method and electronic equipment |
| CN116894064A (en) * | 2023-07-18 | 2023-10-17 | 国网信息通信产业集团有限公司北京分公司 | Intelligent integrated power-transformation auxiliary control data system and method |
| CN116894064B (en) * | 2023-07-18 | 2024-04-09 | 国网信息通信产业集团有限公司北京分公司 | Intelligent integrated power-transformation auxiliary control data system and method |
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